Unmanned Aerial Vehicle Mission Level Simulation

Abstract

We develop an object-oriented simulation that models the surveillance and Active Suppression of Enemy Air Defense (SEAD) missions of the Unmanned Aerial Vehicle (UAV) RQ-1A Predator. The simulation, written in Java using the Silk simulation package, interfaces with a Reactive Tabu Search routing algorithm to provide optimal UAV routes. The routing algorithm is called by the simulation to account for changes in weather conditions and to provide a means of dynamically retasking the UAV. The simulation and analysis support a UAV Battlelab initiative to test the operational effects of proposed changes in Predator performance and UAV capability to perform in an Active SEAD mission. Analysis efforts examine the effect of speed, endurance, and weather susceptibility on UAV operational effectiveness and the effects of radar cross section, threat density, and threat lethality on UAV Active SEAD mission performance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1999
Accession Number
ADA361707

Entities

People

  • Jennifer G. Walston

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Analysis Of Variance
  • Bosnia Herzegovina
  • Cartesian Coordinates
  • Department Of Defense
  • Graphical User Interface
  • Ground Control Stations
  • Operations Research
  • Reconnaissance
  • Simulations
  • Test And Evaluation
  • Turbulence
  • United States
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

  • Aerospace logistics and air mobility.
  • Computational Fluid Dynamics (CFD)
  • Robotics and Automation.

Technology Areas

  • Autonomy
  • Autonomy - UAVs